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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

By : Kapur, Nisarg Thakkar
4.5 (4)
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

4.5 (4)
By: Kapur, Nisarg Thakkar
Buy this Book

Overview of this book

If you are a Java and Android developer looking to enhance your skills by learning the latest features of OpenCV Android application programming, then this book is for you.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Applying Effects to Images
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1. Applying Effects to Images
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Getting started
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Setting up OpenCV
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Storing images in OpenCV
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Linear filters in OpenCV
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Summary
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2. Detecting Basic Features in Images
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2. Detecting Basic Features in Images
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Creating our application
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Edge and Corner detection
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Hough transformations
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Contours
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Project – detecting a Sudoku puzzle in an image
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Summary
3
3. Detecting Objects
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3. Detecting Objects
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What are features?
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Scale Invariant Feature Transform
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Matching features and detecting objects
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Speeded Up Robust Features
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Oriented FAST and Rotated BRIEF
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Binary Robust Invariant Scalable Keypoints
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Fast Retina Keypoint
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Summary
4
4. Drilling Deeper into Object Detection – Using Cascade Classifiers
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4. Drilling Deeper into Object Detection – Using Cascade Classifiers
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An introduction to cascade classifiers
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Face detection using the cascade classifier
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HOG descriptors
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Project – Happy Camera
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Summary
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5. Tracking Objects in Videos
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5. Tracking Objects in Videos
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Optical flow
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Image pyramids
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Basic 2D transformations
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Global motion estimation
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The Kanade-Lucas-Tomasi tracker
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Summary
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6. Working with Image Alignment and Stitching
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6. Working with Image Alignment and Stitching
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Image stitching
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Summary
7
7. Bringing Your Apps to Life with OpenCV Machine Learning
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7. Bringing Your Apps to Life with OpenCV Machine Learning
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Optical Character Recognition
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Solving a Sudoku puzzle
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Summary
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8. Troubleshooting and Best Practices
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8. Troubleshooting and Best Practices
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Troubleshooting errors
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Best practices
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Summary
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9. Developing a Document Scanning App
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9. Developing a Document Scanning App
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Let's begin
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The algorithm
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Implementing on Android
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Summary
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Index
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Index

Setting up OpenCV

OpenCV is the short form of Open Source Computer Vision library. It is the most widely used computer vision library. It is a collection of commonly used functions that perform operations related to computer vision. OpenCV has been natively written in C/C++, but has wrappers for Python, Java, and any JVM language, which is designed to create the Java byte code, such as Scala and Clojure. Since most of the Android app development is done in C++/Java, OpenCV has also been ported as an SDK that developers can use to implement it in their apps and make them vision enabled.

We will now take a look at how to get started with setting up OpenCV for the Android platform, and start our journey. We will use Android Studio as our IDE of choice, but any other IDE should work just as well with slight modifications. Follow these steps in order to get started:

  1. Download Android Studio from https://developer.android.com/sdk/ and OpenCV4Android SDK from http://sourceforge.net/projects/opencvlibrary/files/opencv-android/.
  2. Extract the two files to a known location.
  3. Create a normal Android Project and name it FirstOpenCVApp. Navigate to File | Import.
  4. Select the OpenCV_SDK_location/sdk/java/ directory.
  5. Navigate to Build | Rebuild Project.
  6. Navigate to File | Project Structure.
  7. Add the OpenCV module to your app by selecting the app module in the left column. Click on the green in the dependencies tab, and finally, select the OpenCV module.
  8. You are now ready to use OpenCV in your Android project. It should look like this:
Setting up OpenCV
Visually different images
CONTINUE READING
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Tech Concepts
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Programming languages
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Mastering OpenCV Android Application Programming
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